基于多源遥感技术的红层滑坡识别与监测研究

Research on redbed landslides identification and monitoring based on multi-source remote sensing technology

红层滑坡具有分布广泛、隐蔽性强、突发性高、识别难度大等特点,采用多源时序InSAR技术和光学遥感技术对四川省成都市龙泉山地区开展滑坡隐患识别,并以郑家房子滑坡为典型点开展时序监测分析,以揭示其变形规律。结果表明:基于时序InSAR技术共识别出9处滑坡地质灾害隐患点,ALOS-2数据的识别效果优于Sentinel-1数据;InSAR监测显示郑家房子滑坡变形具有周期性,变形区间与汛期重合,最大形变速率为-40 mm/a,最大变形量为134 mm。结合现场调查分析,该滑坡在强降雨等诱发因素下可能发生大规模失稳,直接威胁坡体居民区和村道,建议在雨季加强持续性监测。

The redbed landslides have the characteristics of wide distribution, strong concealment, high suddenness and difficulty in identification.In this paper, we used multi-source time series InSAR technology and optical remote sensing technology to identify potential landslides in the Mt.Longquan area, Chengdu City, Sichuan Province.The Zhengjiafangzi Landslide was taken as a typical example.Time series monitoring analysis was carried out to reveal the landslide′s deformation law.The results show that based on the time series InSAR technology, a total of 9 potential landslide geohazards are identified, and the identification effect of the ALOS-2 data is better than that of the Sentinel-1 data.InSAR monitoring results show that the deformation of Zhengjiafangzi Landslide is periodic, and the deformation interval coincides with the flood season.The maximum deformation rate is-40mm per year, and the maximum deformation is 134mm.Combined with the field investigation and analysis, the landslide may have large-scale deformation under inducing factors such as heavy rainfall.The landslide deformation directly threatens the residential areas and village roads on the slope.It is recommended to strengthen continuous monitoring in the rainy season.